Testing Interaction Effects in LISREL: Examination and Illustration of Available Procedures

José M. Cortina · Gilad Chen · William P. Dunlap

512 citations0/0 files storedOrganizational Research Methods

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Psychometric Methodologies and Testing Statistical Methods and Applications Statistical Methods and Bayesian Inference

Abstract

The concomitant proliferation of causal modeling and hypotheses of multiplicative effects has brought about a tremendous need for procedures that allow the testing of moderated structural equation models (MSEMs). The seminal work of Kenny and Judd and Hayduk has been drawn on by several authors in the past 10 years, thus producing procedures that allow for such tests. Yet, utilization of MSEMs in empirical research has been quite rare. The purposes of this article are twofold. First, the authors discuss general issues with respect to multivariate normality, indicators of latent products, the nature of latent products, and identification problems in MSEM. Second, they review and illustrate techniques that are available for the testing of interaction effects in structural equation models.

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References

1989Structural Equations with Latent Variables 1991Structural Equations with Latent Variables.1993Lisrel 8: Structural Equation Modeling With the Simplis Command Language 1989LISREL 7 : user's reference guide 1988Structural Equation Modeling with LISREL 1984Asymptotically distribution‐free methods for the analysis of covariance structures 1992Can test statistics in covariance structure analysis be trusted?1982Some Methods for Respecifying Measurement Models to Obtain Unidimensional Construct Measurement

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